Remote Senior Healthcare Analytics Lead

Vālenz Health; United States; On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

HSA/FSA options

401K with company match

Flexible working environment

Paid time off

Employee assistance program

Parental leave

Pet insurance

Employee discounts

Community giveback opportunities

Job summary

Vālenz Health is seeking a Senior Analyst to work with medical and pharmacy claims, building data products that support member navigation, employer compliance, and pharmacy savings initiatives. You’ll resolve data issues and respond to client inquiries using SQL and Python to enhance analytics workflows and internal reporting.

You’ll collaborate with Data Engineering, Web Development, and Analytics teams to deploy complex code, own outbound data extracts via SFTP, monitor data quality, and

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• 7+ years in data analysis, including 3+ years with healthcare claims.
• Strong analytical and data-driven problem-solving abilities.
• Attention to data accuracy, validation, and QA.
• Able to manage multiple priorities and collaborate across teams.

Responsibilities

• Analyze medical and pharmacy claims to build data products for pricing, quality, and compliance.
• Apply models and queries to resolve data issues and support client inquiries.
• Use SQL, Python, Spark, and Databricks to transform datasets into insights.
• Develop and maintain outbound pharmacy data extracts via SFTP for vendors.
• Collaborate with Data Engineering and Analytics teams to design workflows.
• Monitor data quality and performance and drive improvements.

Skills

Advanced SQL

Python (Pandas)

PySpark

Databricks

Healthcare claims data

Excel

Spark

Azure

Data validation

SFTP data delivery

Education

Bachelor’s degree in Quantitative field

Tools

Databricks

Azure

Snowflake

Power BI

Git / CI/CD

Job description

Vālenz Health is seeking a Senior Analyst to work with medical and pharmacy claims, building data products that support member navigation, employer compliance, and pharmacy savings initiatives. You’ll resolve data issues and respond to client inquiries using SQL and Python to enhance analytics workflows and internal reporting.

You’ll collaborate with Data Engineering, Web Development, and Analytics teams to deploy complex code, own outbound data extracts via SFTP, monitor data quality, and